The Terminal Representation in Reinforcement Learning

arXiv:2605.31289 · cs.LG, cs.AI · Submitted 2026-05-29 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-05-29

Updated: 2026-10-06

Code: https://github.com/httse9/Reward-Aware-Proto-Representations

Terminology

• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Reward Shaping — 1× in this paper · explained in 2 episodes
• Temporal Abstraction — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• What is the relation between Slow Feature Analysis and the Successor Representation?
• Reward-Aware Proto-Representations in Reinforcement Learning

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